Dwatch: A reliable and low-power drowsiness detection system for drivers based on mobile devices

Document Type

Article

Publication Date

10-1-2020

Abstract

Drowsiness detection is critical to driver safety, considering thousands of deaths caused by drowsy driving annually. Professional equipment is capable of providing high detection accuracy, but the high cost limits their applications in practice. The use of mobile devices such as smart watches and smart phones holds the promise of providing a more convenient, practical, non-invasive method for drowsiness detection. In this article, we propose a real-time driver drowsiness detection system based on mobile devices, referred to as dWatch, which combines physiological measurements with motion states of a driver to achieve high detection accuracy and low power consumption. Specifically, based on heart rate measurements, we design different methods for calculating heart rate variability (HRV) and sensing yawn actions, respectively, which are combined with steering wheel motion features extracted from motion sensors for drowsiness detection. We also design a driving posture detection algorithm to control the operation of the heart rate sensor to reduce system power consumption. Extensive experimental results show that the proposed system achieves a detection accuracy up to 97.1% and reduces energy consumption by 33%.

Identifier

85092784966 (Scopus)

Publication Title

ACM Transactions on Sensor Networks

External Full Text Location

https://doi.org/10.1145/3407899

e-ISSN

15504867

ISSN

15504859

Issue

4

Volume

16

Grant

2020KW-004

Fund Ref

National Natural Science Foundation of China

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